Argumentation Theory in the Field: An Empirical Study of Fundamental Notions. - Ariel Rosenfeld; Sarit Kraus (ArgNLP, 2014)

Adaptive Advice in Automobile Climate Control Systems. - Ariel Rosenfeld; Amos Azaria; Sarit Kraus; Claudia V. Goldman; Omer Tsimhoni (AAAI Workshop: AI for Transportation, 2015)

Providing Arguments in Discussions Based on the Prediction of Human Argumentative Behavior. - Ariel Rosenfeld; Sarit Kraus (AAAI, 2015)

Automated Agents for Advice Provision. - Ariel Rosenfeld (IJCAI, 2015)

Intelligent Agent Supporting Human-Multi-Robot Team Collaboration. - Ariel Rosenfeld; Noa Agmon; Oleg Maksimov; Amos Azaria; Sarit Kraus (IJCAI, 2015)

Advice Provision for Energy Saving in Automobile Climate-Control System. - Amos Azaria; Ariel Rosenfeld; Sarit Kraus; Claudia V. Goldman; Omer Tsimhoni (AI Mag., 2015)

Human-Multi-Robot Team Collaboration using Advising Agents: (Doctoral Consortium). - Ariel Rosenfeld (AAMAS, 2016)

A Pilot Study in Using Argumentation Frameworks for Online Debates. - Federico Cerutti 001; Alexis Palmer; Ariel Rosenfeld; Jan Snajder; Francesca Toni (SAFA@COMMA, 2016)

Strategical Argumentative Agent for Human Persuasion. - Ariel Rosenfeld; Sarit Kraus (ECAI, 2016)

Online Prediction of Exponential Decay Time Series with Human-Agent Application. - Ariel Rosenfeld; Joseph Keshet; Claudia V. Goldman; Sarit Kraus (ECAI, 2016)

Providing Arguments in Discussions on the Basis of the Prediction of Human Argumentative Behavior. - Ariel Rosenfeld; Sarit Kraus (ACM Trans. Interact. Intell. Syst., 2016)

Speeding up Tabular Reinforcement Learning Using State-Action Similarities. - Ariel Rosenfeld; Matthew E. Taylor; Sarit Kraus (AAMAS, 2017)

Optimizing Traffic Enforcement: From the Lab to the Roads. - Ariel Rosenfeld; Oleg Maksimov; Sarit Kraus (GameSec, 2017)

ACAT: A Novel Machine-Learning-Based Tool for Automating Android Application Testing. - Ariel Rosenfeld; Odaya Kardashov; Orel Zang (Haifa Verification Conference, 2017)

When Security Games Hit Traffic: Optimal Traffic Enforcement Under One Sided Uncertainty. - Ariel Rosenfeld; Sarit Kraus (IJCAI, 2017)

Leveraging Human Knowledge in Tabular Reinforcement Learning: A Study of Human Subjects. - Ariel Rosenfeld; Matthew E. Taylor; Sarit Kraus (IJCAI, 2017)

Intelligent agent supporting human-multi-robot team collaboration. - Ariel Rosenfeld; Noa Agmon; Oleg Maksimov; Sarit Kraus (Artif. Intell., 2017)

Automation of Android Applications Testing Using Machine Learning Activities Classification. - Ariel Rosenfeld; Odaya Kardashov; Orel Zang (CoRR, 2017)

Strategic Human-Agent Interaction: From Promoting Traffic Safety to Search and Rescue. - Ariel Rosenfeld (AAMAS, 2018)

Automation of Android applications functional testing using machine learning activities classification. - Ariel Rosenfeld; Odaya Kardashov; Orel Zang (MOBILESoft@ICSE, 2018)

Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation. - Ariel Rosenfeld; Oleg Maksimov; Sarit Kraus (IJCAI, 2018)

Optimally balancing receiver and recommended users' importance in reciprocal recommender systems. - Akiva Kleinerman; Ariel Rosenfeld; Francesco Ricci 001; Sarit Kraus (RecSys, 2018)

Providing explanations for recommendations in reciprocal environments. - Akiva Kleinerman; Ariel Rosenfeld; Sarit Kraus (RecSys, 2018)

Leveraging human knowledge in tabular reinforcement learning: a study of human subjects. - Ariel Rosenfeld; Moshe Cohen; Matthew E. Taylor; Sarit Kraus (Knowl. Eng. Rev., 2018)

Predicting Human Decision-Making: From Prediction to Action - Ariel Rosenfeld; Sarit Kraus (Predicting Human Decision-Making, 2018)

Labor Division with Movable Walls: Composing Executable Specifications with Machine Learning and Search (Blue Sky Idea). - David Harel; Assaf Marron; Ariel Rosenfeld; Moshe Y. Vardi; Gera Weiss (AAAI, 2019)

Emergency Department Online Patient-Caregiver Scheduling. - Hanan Rosemarin; Ariel Rosenfeld; Sarit Kraus (AAAI, 2019)

Playing Chess at a Human Desired Level and Style. - Hanan Rosemarin; Ariel Rosenfeld (HAI, 2019)

Human-Agent Interaction for Human Space Exploration. - Ariel Rosenfeld (UMAP (Adjunct Publication), 2019)

Optimal cruiser-drone traffic enforcement under energy limitation. - Ariel Rosenfeld; Oleg Maksimov (Artif. Intell., 2019)

Big Data Analytics and AI in Mental Healthcare. - Ariel Rosenfeld; David Benrimoh; Caitrin Armstrong; Nykan Mirchi; Timothe Langlois-Therrien; Colleen Rollins; Myriam Tanguay-Sela; Joseph Mehltretter; Robert Fratila; Sonia Israel; Emily Snook; Kelly Perlman; et al. (CoRR, 2019)

When security games hit traffic: A deployed optimal traffic enforcement system. - Ariel Rosenfeld; Oleg Maksimov; Sarit Kraus (Artif. Intell., 2020)

Online prediction of time series with assumed behavior. - Ariel Rosenfeld; Moshe Cohen; Sarit Kraus; Joseph Keshet (Eng. Appl. Artif. Intell., 2020)

Justified Representation for Perpetual Voting. - Laurent Bulteau; Noam Hazon; Rutvik Page; Ariel Rosenfeld; Nimrod Talmon (IEEE Access, 2021)

Predicting Strategic Decisions Based on Emotional Signals. - Ariel Rosenfeld (Cybern. Syst., 2021)

Journal subject classification: intra- and inter-system discrepancies in Web Of Science and Scopus. - Shir Aviv-Reuven; Ariel Rosenfeld (CoRR, 2021)

What Should We Optimize in Participatory Budgeting? An Experimental Study. - Ariel Rosenfeld; Nimrod Talmon (CoRR, 2021)

Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare. - David Benrimoh; Sonia Israel; Robert Fratila; Caitrin Armstrong; Kelly Perlman; Ariel Rosenfeld; Adam Kapelner (Frontiers Big Data, 2021)

Publication patterns' changes due to the COVID-19 pandemic: a longitudinal and short-term scientometric analysis. - Shir Aviv-Reuven; Ariel Rosenfeld (Scientometrics, 2021)

LBA: Online Learning-Based Assignment of Patients to Medical Professionals. - Hanan Rosemarin; Ariel Rosenfeld; Steven Lapp; Sarit Kraus (Sensors, 2021)

Supporting users in finding successful matches in reciprocal recommender systems. - Akiva Kleinerman; Ariel Rosenfeld; Francesco Ricci 001; Sarit Kraus (User Model. User Adapt. Interact., 2021)

Should young computer scientists stop collaborating with their doctoral advisors? - Ariel Rosenfeld; Oleg Maksimov (Commun. ACM, 2022)

Proportional Ranking in Primary Elections: A Case Study. - Ariel Rosenfeld; Ehud Shapiro; Nimrod Talmon (CoRR, 2022)

Optimal retrieval in puzzle-based storage with heuristic search and tabulation. - Ariel Rosenfeld (Networks, 2022)

The Trade-Off between Airborne Pandemic Control and Energy Consumption Using Air Ventilation Solutions. - Ariel Alexi; Ariel Rosenfeld; Teddy Lazebnik (Sensors, 2022)

Exploring the Association Between Multiple Classifications and Journal Rankings. - Shir Aviv-Reuven; Ariel Rosenfeld (iConference (1), 2023)

Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies. - David Benrimoh; Akiva Kleinerman; Toshi A. Furukawa; Charles F. Reynolds III; Eric Lenze; Jordan F. Karp; Benoit H. Mulsant; Caitrin Armstrong; Joseph Mehltretter; Robert Fratila; Kelly Perlman; Sonia Israel; et al. (CoRR, 2023)

Economical-Epidemiological Analysis of the Coffee Trees Rust Pandemic. - Teddy Lazebnik; Ariel Rosenfeld; Ariel Alexi; Labib Shami (CoRR, 2023)

Optimizing SMS Reminder Campaigns for Pre- and Post-Diagnosis Cancer Check-Ups using Socio-Demographics: An In-Silco Investigation Into Bladder Cancer. - Elizaveta Savchenko; Ariel Rosenfeld; Svetlana Bunimovich-Mendrazitsky (CoRR, 2023)

A Computational Model For Individual Scholars' Writing Style Dynamics. - Teddy Lazebnik; Ariel Rosenfeld (CoRR, 2023)

Mathematical Modeling of BCG-based Bladder Cancer Treatment Using Socio-Demographics. - Elizaveta Savchenko; Ariel Rosenfeld; Svetlana Bunimovich-Mendrazitsky (CoRR, 2023)

The Academic Midas Touch: An Unconventional Scientometric for Evaluating Academic Excellence. - Ariel Rosenfeld; Ariel Alexi; Liel Mushiev; Teddy Lazebnik (CoRR, 2023)

Monetary Compensation and Private Information Sharing in Augmented Reality Applications. - Gilad Taub; Avshalom Elmalech; Noa Aharony; Ariel Rosenfeld (Inf., 2023)

A logical set theory approach to journal subject classification analysis: intra-system irregularities and inter-system discrepancies in Web of Science and Scopus. - Shir Aviv-Reuven; Ariel Rosenfeld (Scientometrics, 2023)

Is DBLP a Good Computer Science Journals Database? - Ariel Rosenfeld (Computer, 2023)

Advances in Multi-agent Systems Research: EUMAS 2021 Extended Selected Papers. - Davide Grossi; Ariel Rosenfeld; Nimrod Talmon (SN Comput. Sci., 2023)

Whose LLM is it Anyway? Linguistic Comparison and LLM Attribution for GPT-3.5, GPT-4 and Bard. - Ariel Rosenfeld; Teddy Lazebnik (CoRR, 2024)

Exploring scholarly perceptions of preprint servers. - Shir Aviv-Reuven; Jenny Bronstein; Ariel Rosenfeld (Inf. Res., 2024)

Detecting LLM-assisted writing in scientific communication: Are we there yet? - Teddy Lazebnik; Ariel Rosenfeld (J. Data Inf. Sci., 2024)

Negotiation strategies for agents with ordinal preferences: Theoretical analysis and human study. - Noam Hazon; Sefi Erlich; Ariel Rosenfeld; Sarit Kraus (Artif. Intell., 2024)

Authorship conflicts in academia: an international cross-discipline survey. - Elizaveta Savchenko; Ariel Rosenfeld (Scientometrics, 2024)

The scientometrics and reciprocality underlying co-authorship panels in Google Scholar profiles. - Ariel Alexi; Teddy Lazebnik; Ariel Rosenfeld (Scientometrics, 2024)

Publishing instincts: An exploration-exploitation framework for studying academic publishing behavior and "Home Venues". - Teddy Lazebnik; Shir Aviv-Reuven; Ariel Rosenfeld (J. Informetrics, 2025)

The Einstein Test: Towards a Practical Test of a Machine's Ability to Exhibit Superintelligence. - David Benrimoh; Nace Mikus; Ariel Rosenfeld (CoRR, 2025)

Advising Agent for Supporting Human-Multi-Drone Team Collaboration. - Hodaya Barr; Dror Levy; Ariel Rosenfeld; Oleg Maksimov; Sarit Kraus (CoRR, 2025)

How lonely or influential is the Lone Wolf? An analysis of individual scholars' solo-authorship dynamics. - Teddy Lazebnik; Ariel Rosenfeld (Scientometrics, 2025)